diff --git a/README.md b/README.md
index 1d1850f..85e35fb 100644
--- a/README.md
+++ b/README.md
@@ -35,12 +35,14 @@ python bin/stochastic_reconfiguration.py run_id=deuteron nparticles=2 iterations
 
 This software is compatible with both CPUs and GPUs through Tensorflow.  It has good weak and strong scaling performance:
 
-![Scaling performance for 4He on A100 GPUs (ThetaGPU@ALCF)](https://github.com/coreyjadams/AI-for-QM/blob/master/images/Scaling_Performance.pdf)
+![Scaling performance for 4He on A100 GPUs (ThetaGPU@ALCF)](https://github.com/coreyjadams/AI-for-QM/blob/master/images/Scaling_Performance.png)
 
 The software also has good scaling performance with increasing number of nucleons:
 
-![Nucleon scaling performance on A100 GPUs (ThetaGPU@ALCF)](https://github.com/coreyjadams/AI-for-QM/blob/master/images/NucleonScaling.pdf)
+![Nucleon scaling performance on A100 GPUs (ThetaGPU@ALCF)](https://github.com/coreyjadams/AI-for-QM/blob/master/images/NucleonScaling.png)
+
+
 
 ## Reference
 
-If you use this software, please reference our publication [on arxiv](https://arxiv.org/abs/2007.14282)
\ No newline at end of file
+If you use this software, please reference our publication [on arxiv](https://arxiv.org/abs/2007.14282)